一维隐藏特征下的激励问题:一个统一方法

Incentive Problems With Unidimensional Hidden Characteristics: A Unified Approach

Econometrica · 2010
被引 45
人大 A+FT50ABS 4*

中文导读

提出一种技术,统一处理类型集有限、连续密度或含质量点与无原子部分的任意分布,证明最优激励方案在顶部无扭曲、顶部以下向下扭曲的结论适用于任意类型分布,但内部质量点需与相邻高类型混同并导致不连续跳跃。

Abstract

This paper develops a technique for studying incentive problems with unidimensional hidden characteristics in a way that is independent of whether the type set is finite, the type distribution has a continuous density, or the type distribution has both mass points and an atomless part. By this technique, the proposition that optimal incentive schemes induce no distortion "at the top" and downward distortions "below the top" is extended to arbitrary type distributions. However, mass points in the interior of the type set require pooling with adjacent higher types and, unless there are other complications, a discontinuous jump in the transition from adjacent lower types. Copyright 2010 The Econometric Society.

单维隐藏特征激励问题最优扭曲类型分布